Your Career, Your Rules.

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large-scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an Applied Scientist to join our Motion Planning and Control team creating a fleet of manipulation robots at scale. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments. Your contributions will drive the development and scaling of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables robotics to significantly impact the lives of millions of consumers.Key job responsibilities- Research, design, implement and evaluate complex motion planning and control algorithms that improve the performance of systems deployed in real-world conditions.- Make development, deployment, and understanding the our robots' behaviors and performance faster and more intuitive for ourselves and our customers.- Work closely with software engineers to drive scalable, real-time implementations.- Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.- Represent Amazon in academia community through publications and scientific presentations.- Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Relevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems. ...

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos).If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.Come work on the Amazon Prime Air Team!Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is looking for an outstanding engineer to support our acoustic analysis, anechoic chamber, and noise testing. You’ll be responsible for owning, building, and implementing our indoor and outdoor noise testing of our propellers and drone vehicle designs. Your work will feed directly into our certification and regulatory processes to launch sites and expand operations. You’ll explore new and novel propeller and drone vehicle designs in both focused and wide open design spaces, with the ultimate goal of meeting our customer requirements. You will directly support the Office of the Chief Program Engineer, and work closely across all vehicle subsystem teams to ensure integrated designs that meet performance, reliability, manufacturing, and cost requirements.About the teamOur Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping.BASIC QUALIFICATIONS- Bachelors Degree in aerospace engineering, mechanical engineering, physics and 5+ years experience or equivalent- Experience with acoustic and exterior noise testing for air vehicles or rotorcraft- Hands-on experience designing, building, or operating acoustics test systems- Experience designing and building mechanical and electrical systems, test models, and test fixtures ...

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.For this role, we are seeking a talented scientist with deep expertise in Gen AI to innovate our product portfolio and ease accessibility to actionable insights for our customers.Key job responsibilities- Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems- Disambiguate problems to propose clear evaluation frameworks and success criteria- Work autonomously and write high quality technical documents- Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production- Work closely with other scientists to deliver impactful customer solutions- Share and publish works with the broader scientific community through meetings and conferences- Communicate clearly to scientific audiencesAbout the teamWe are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.Team Video: https://youtu.be/zD_6Lzw8raEBASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

The Worldwide Amazon Stores organization is looking for an Administrative Assistant who wants to work in a fast-paced, exciting, and growing organization. We are seeking an exceptionally talented, dependable, customer-obsessed, and self-motivated Administrative Assistant to work under the direct supervision of the Executive Assistant to the Vice President of Fulfillment by Amazon Product & Tech. This is a great opportunity to join a stellar administrative team, with a variety of responsibilities for you to grow and further your professional career. The role requires a high degree of organization, attention to detail, ability to handle confidential information, and self-motivation. Must have the ability to communicate well, manage multiple assignments and people simultaneously, and maintain professionalism in dealing with managers and executives. Key job responsibilities• Back up of calendar and support and scheduling needs for leaders on FBA team.• Support logistics and planning for leadership meetings and ownership in managing events.• Manage space planning for office sites.• Coordinate travel and create detailed itineraries.• Complete and file expense reports.• Tracking and helping drive completion of deliverables and following up on open action items.• Special projects as assigned.BASIC QUALIFICATIONS- High school or equivalent- 1+ years of working with computers and Microsoft Office products and applications experience- Work 40 hours/week, and overtime as required- Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach- Are 21 years of age or older- Strong organizational, communication, and interpersonal skills- Ability to prioritize and handle multiple assignments at any given time- 1 year+ experience with Executive Level Calendar Management- 1 year+ experience planning, organizing, and supporting large meetings and events ...

Are you passionate about cutting-edge technology and eager to shape the future of hardware innovation?We are looking for interns across a variety of domain expertise, such as RF/analog IC design, mixed-signal modeling, custom IC layout, ASIC development, PCB design, signal processing, high-speed digital, space-grade electronics, optical communications, antenna design, thermodynamics, robotics, and acoustics!Including but not limited to the following teams:• Project Kuiper (Avionics, RF Systems, Ground Systems, Satellite Battery Design)• Quantum Computing (Qubit Optimization)• Consumer Robotics (Advanced Products and Technologies)• Amazon Devices (Kindle, Echo, Fire TV)• Ring and Blink Product Integrity• Mechatronics and Sustainable Packaging (MSP)• Display Optics and Touch Team• Kuiper Space Simulation Lab• KGS ElectronicsWe encourage all interested candidates to apply, even if you don't meet all the preferred qualifications. We value diverse perspectives and are committed to helping you grow and develop your skills in ASIC development.Key job responsibilitiesAs a specialized Hardware Development Engineer, you will engage with cross-disciplinary teams across Amazon's cutting-edge technology divisions. You will work closely with internal teams and external partners to drive product definition, execution, and testing for next-generation hardware. You must be responsive, flexible, and able to thrive in an open, collaborative environment. Depending on the team you join, you may also:-- Design and implement RF/analog circuits for satellite and user terminal ASICs--Develop high-fidelity analog behavioral models for beamforming transceivers--Optimize electromagnetic structures using EMX for improved performance--Create and maintain automated test infrastructure for system verification--Develop scripts for data processing and analysis of RF system performance--Implement cross-correlation algorithms for system and component-level data--Contribute to the design and verification of mixed-signal ICs for space applicationsA day in the lifeOur internship program provides hands-on learning and building experiences for students who are interested in a career in ASIC. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.BASIC QUALIFICATIONS- Work 40 hours/week minimum and commit to 12 week internship maximum- Currently pursuing a Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or related field with an expected graduation between October 2025 – December 2027- Knowledge of software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations- Experience with Git or other distributed version control systems- Knowledge of data analysis and machine learning fundamentals- Programming skills in at least one language (e.g., Python, C++) ...

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products. As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world. The position is based in Seattle but will interact with global leaders and teams in Europe, Japan, China, Australia, and other regions. Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Please visit https://www.amazon.science for more information Key job responsibilities- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain.- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.- Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.- Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems.- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ...

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large-scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an experienced Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced manipulation strategies and algorithms. You will drive innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables robotics to significantly impact the lives of millions of consumers.A day in the life- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications. - Guide the research, design, deployment, and evaluation of complex motion planning and control algorithms for contact-rich, cluttered, real-world manipulation problems.- Work closely with perception, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 4+ years of industry or academic research experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience building machine learning models or developing algorithms for business application- Strong understanding of robotic manipulation, motion planning, control theory, and robotics. ...

Amazon is a pioneering and dynamic company that thrives on unique and peculiar ways. We take pride in our single-minded obsession over customer satisfaction and our ability to maintain a curious culture no matter how large the company grows. We endeavor to build our legacy as Earth’s most customer-centric company and to continue to cultivate and nourish our innovative environment through our mission to hire the best. If you are a financial accounting professional who consistently exceeds expectations, who dares to make bold decisions, and whose ears perk up at the prospect of a challenge, then Amazon is a place where your career can flourish.When working at Amazon, your ability to make a difference and take ownership of your career begins on day one. You can expect a collaborative, team-driven environment that encourages employees to learn, be curious, and have a bias for action. Part of this propensity for continuous learning shows itself in Amazon’s strong encouragement of movement and growth within the Accounting department and within the company as a whole. We aim to hire and develop those who will raise the bar over the course of their career at Amazon (and not just in their first position).This position will be responsible for supporting all aspects of Accounting Policy’s work including: supporting our operational accounting teams by researching and applying US and International accounting standards to unique business transactions, developing and updating formal accounting policies, supporting organization wide training initiatives and managing all aspects of communications to our stakeholders. This role will require significant collaboration with internal stakeholders.Key job responsibilities • Partner and collaborate with key stakeholders by researching and applying US GAAP to unique, significant, and/or non-routine transactions. • Ensure appropriate documentation of accounting and reporting conclusions for complex, highly judgmental business transactions involving revenue arrangements, leases, business combinations, stock-based compensation, investments, and VIEs and consolidation. • Develop, maintain and publish Amazon’s corporate wide accounting policies and assist with the application of these policies. • Develop and support organization wide training initiatives. • Manage accounting projects on an ad-hoc basis. • Actively coach and develop staff on Amazon’s operational accounting teams. BASIC QUALIFICATIONS- 5+ years of finance or a related analytical field experience- Bachelor's degree in accounting or related field- Demonstrated ability to draft technical accounting positions in plain English ...

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps- Stay up-to-date with advancements and the latest modeling techniques in the field- Publish your research findings in top conferences and journalsA day in the lifeWe're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

This is a Department of Labor Registered Apprenticeship Program.The Amazon Economics organization is seeking highly skilled and motivated individuals to join our 2-year Pre-Doctoral Program. As an Apprentice, you will have the unique opportunity to work alongside full-time Amazon Economists and academic mentors, gaining hands-on experience in cutting-edge economic research. Key Responsibilities:* Collaborate with cross-functional teams to tackle real-world business challenges using advanced economic methodologies and large, complex data sets* Develop proficiency in economic analysis, data management, and statistical programming (Python, R, Stata)* Acquire research skills and experiences to strengthen your PhD program applicationsProgram Benefits:* Mentorship from seasoned Amazon Economists and university professors* Guidance on PhD program prerequisites and admissions coaching* Exposure to fast-paced business research lifecycle, from data collection to decision impactWe are committed to cultivating a diverse and inclusive research community. Individuals from underrepresented backgrounds are strongly encouraged to apply.To apply, please submit a single PDF bundle including: your CV/resume, academic transcripts, and a research writing sample with a personal statement outlining your research interests and career goals.The Apprenticeship Program is based in Seattle, WA.Apprenti will act as the Apprenticeship Intermediary, managing the apprentice employment process, providing pay and benefits to apprentices, maintaining documentation and fulfilling statutory reporting requirements for all apprentices registered in the Apprenti program. Amazon is responsible for providing meaningful work opportunity and providing day-to-day apprentice supervision, from instructor led training to development in on the job learning.BASIC QUALIFICATIONS- Enrolled in the final year of their bachelor’s program or have recently obtained their bachelor’s degree.- Graduate education (M.A./M.S.) and prior work experience is considered in the application process but not required.. ...

Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.In Annapurna Labs we are at the forefront of hardware co-design not just in Amazon Web Services (AWS) but across the industry. The work we do is cutting-edge and internet-scale while also being deeply important to our customers. We design and build every component of our hardware and software to come together into products that our customers use for accelerated computing: either Machine Learning acceleration, or FPGA acceleration. We get our hands dirty, from creating our own silicon, pushing the electrons in the right direction, ensuring our hardware is functional and healthy, and managing the full lifecycle of our systems at the huge scale and complexity of AWS. If you're interested in "building a complete product" from inception to delighted customers, Annapurna is a fantastic choice.As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Software and Hardware in our data centers including technologies such as AWS Inferentia, which is a machine learning inference accelerator designed to deliver high performance at low cost.If this sounds exciting to you - come build the future with us!Key job responsibilities• Perform physical design for Amazon's machine learning custom silicon solutions• Participate in various aspects of physical design: full chip floorplanning, circuit analysis, power/clock distribution, timing optimization, place and route, power integrity analysis, and physical verification• Write Tcl or PERL scripts to improve physical design flows and methods• Collaborate with RTL, DFT designers to ensure high quality design implementationBASIC QUALIFICATIONS- Enrolled in a Bachelors’ degree program or higher in Electrical Engineering, Computer Engineering, or a related field with a graduation conferral date between December 2025 and September 2026- Scripting internship/project experience with Python, Perl or equivalent- Strong understanding of VLSI circuit design fundamentals- Have taken at least one or more VLSI circuit design and implementation classes and done lab projects ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you passionate about creating resilient cloud systems that power mission-critical operations? Do you want to apply leading edge artificial intelligence technologies like Amazon Bedrock to challenging problems? Do you thrive on engineering and maintaining the largest cloud infrastructure for some of the world's most complex environments? Amazon Web Services is seeking talented Systems Development Engineers to join our Region Reliability Engineering (RRE) team. Our mission is to ensure the seamless operation of AWS’s dedicated cloud regions through proactive reliability engineering, automation, and leading-edge solutions.We seek individuals who bring a deep technical skill set in Development, Operations, Networking, and Systems Engineering, and who understand the Agile mindset and DevOps philosophies. We welcome engineers willing to think differently, redesigning systems, processes, and tools to deliver operational excellence on a massive scale.If you’re ready to dive deep, solve complex technical issues, and make a visible impact in cloud computing, we’re excited to meet you.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities- Innovate and Automate: Develop and implement innovative solutions to reduce repetitive tasks, building systems that minimize manual intervention, reduce cognitive load, and allow for proactive issue resolution. Build with technologies like Amazon Bedrock to reimagine reliability engineering.- Enhance Regional Reliability: Expand regional coverage for AWS’s critical services.- Deep Dive and Troubleshoot: Conduct deep dives into system and service interdependencies, proactively identifying and resolving region-specific challenges before they impact mission-critical operations.- Mentorship and Growth: Collaborate with industry-recognized engineers, engaging in continuous learning and contributing to a culture of excellence and reliability.- Support National Security: Partner with U.S. Intelligence and Defense agencies to ensure mission resilience, implementing secure, reliable, and scalable cloud solutions.A day in the lifeOn a typical day, you’ll work alongside our service engineers and preemptively resolve potential issues, drive automation efforts, and consult with leading technical experts within AWS. You’ll help build and operate high-performing systems that will be critical in reducing operational burden for other AWS Dedicated Cloud teams, enhancing regional reliability through scalability, innovation, and automation. You will help us reimagine and continuously improve reliability engineering.About the teamAWS Region Reliability Engineering offers the entrepreneurial feel of a start-up within one of the world’s most advanced cloud organizations. You’ll work with a team that believes in tackling hard problems, growing expertise, and driving a more reliable and resilient future for AWS’s largest government customers.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 2+ years of systems administration experience (Linux/Windows or Networking)- 2+ years of experience using debugging and systems analysis skills to be able to identify and quickly resolve/mitigate issues- Current, active US Government Security Clearance of Top Secret or above ...

Amazon AI is looking for an Applied Scientist to join our science team in the area of Multimodal Learning, Large Language Models, Natural Language Processing and Speech/Audio Representation Learning. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is to put the power of AI into the hands of every developer. We seek to advance the state of the art in machine learning to create services that delight our customers and meet real-world business needs.As an Applied Scientist you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highlyscalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products.We are looking for candidates who thrive in an exciting, fast-paced environment and who have a strong personal interest in learning, researching, and creating new technologies with high customer impact.Prior domain knowledge in multimodal learning, unsupervised speech/audio representations, natural language processing, or computer vision is strongly preferred; solid knowledge of fundamentals of statistics, machine learning, and deep learning is required. Candidates should possess strong software engineering skills and several years of industry experience.About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. AHS Sr. Program Manager Policy/Process within the Account Health Support (AHS) team acts as the primary interface between Amazon and our selling partners. We obsess over providing world class support to Sellers selling on the Amazon. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers. The Account Health Support Team is looking for a AHS Sr. Program Manager Policy/Process to join our Global Operations and be a leader on our team. We are seeking a talented, data driven, and proven Program Manager to support our stakeholder teams worldwide across various functions. The AHS Sr. Program Manager Policy/Process will be a key person to shape Seller Experience, drive Seller adoption and satisfaction within the Account Health Support team. The ideal candidate should be able to work in a cross functional, fast-paced environment; has strong program management and communication skills. The AHS Sr. Program Manager Policy/Process within the Account Health Support team acts as a primary interface between AHS and the internal business partners we support. As the AHS Sr. Program Manager Policy/Process, you will set the strategy for new program rollouts within AHS, define the processes that make up that strategy, and develop the tools to execute and measure it. Successful candidates will focus on proactively identifying upstream process defects that could negatively impact AHS Specialists, as well as remedying existing process defects. You will work closely with AHS’ business and policy stakeholders, asking the right questions and formulating detailed launch plans to ensure new program rollouts are properly executed, and on time. You will liaise closely with the training, content, and quality assurance teams to systematically identify and close knowledge gaps for our team of worldwide Specialists.This is a high visibility opportunity to improve and define the best way to solve problems throughout the AHS organization, using the power of your communication and analytical skills. This role will be responsible for executing end-to-end process improvement programs that results in the standardization of business processes and implementation of best practices. You will lead large initiatives, coordinating the work of internal and partner teams. Responsibilities include program scoping, launch design, data collection and analysis, site visits, proposal of new standards, communication of results to senior Seller Trust & AHS management, and subject matter expert (SME) support for implementations of recommended improvements. As the AHS Sr. Program Manager Policy/Process, you must be an excellent communicator (written and verbal English), who can clearly and concisely articulate results and liaise with your peers, and all levels of management, including senior leadership. Your strong subject matter expertise, the ability to learn new technology concepts quickly, and passion for innovation will also ensure we deliver and implement high quality processes that heavily rely on optimized tools and scale across all our work types.Key job responsibilities Continuous Process Improvement: · Shares findings for process and tools improvement with the global AHS network. · Summarizes the best practices and communicate with the site leaders/Operations managers. · Develops narratives to communicate process findings to leadership · Able to communicate nuances in AHS Specialist workflow to leadership and external stakeholders. · Serve as primary process improvement liaison to local site leadership. Consultant and Business Partner: · Defines / scopes programs or deliverables – helps to engage with the business. · Works backwards – demonstrates planning capability to execute on deliverables (manages stakeholders, and coordinates details). · Executes needs assessments (surveys, interviews) and makes process/program improvements accordingly. · Continuously improves needs assessment process. · Focuses on the optimal Specialist experience and makes suggestions for improvement. · Helps org to optimize on best practices. Measures and Delivers Results: · Conducts surveys, makes improvements, and creates reports. · Gathers and does initial analysis on deliverable impact. · Uses appropriate judgement to balance use of and application of anecdotal data related to the success of the deliverable and is able to theme it with the other results/data. · Work cross functionally with peers/colleagues globally to support training, best practices, and shared opportunities. · Develop new methodologies and standards for measuring and bench marking internally. BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadership ...

The Learning & Development Science team in Amazon Logistics (AMZL) builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to address the personalized questions in real-time from the leadership and associates through chat assistants. Post the learning interventions, the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.Key job responsibilities* Apply science models to extract actionable information from learning feedback* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows* Design and implement metrics to evaluate the effectiveness of AI models* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The Think Forward Lab team at Deep Science for Systems & Services (DS3), AWS AI/ML is looking for world class scientists and engineers to join its group working on deployment of autonomous agents. Agents with full autonomy need to be trustworthy and verifiable. The team develops AI systems that exhibit autonomous proficiency across a wide range of domains, demonstrating competency in many (complex) tasks previously performed by human knowledge workers. Such agents sense, plan, and act effectively in interactive and previously unseen environments. To accomplish this goal we are seeking scientists with expertise in large language models, user alignment, neuro-symbolic AI, synthetic data generation and agentic environments. This is a role that combines science knowledge, technical strength, and product focus. It will be your job to develop novel generative AI-based agentic systems and algorithms while working with the engineering team to integrate them into different projects in the AWS AI portfolio of services. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Key job responsibilitiesYou will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for agents, neuro-symbolic AI and LLMs. You will be a technical leader in your domain. You will be a strong mentor and lead for your team. About the teamThe DS3 org encompasses scientists who work closely with different AWS AI/ML product services, innovating on the behalf of our customers customers. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applyingAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for a full-time role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:- Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.- Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.- Learn more about our commitment to our communities, diversity and military veterans.- Learn more about our headquarters in Seattle as well as where we operate around the world.Senior Retail Vendor Manager (VM): Amazon is looking for a passionate candidate with the proven ability to build strategic, long term business relationships within the Amazon Stores organization. The candidate will be responsible for monitoring and reacting to industry trends, within a determined Amazon Stores retail business, and own the top and bottom lines of the P&L. They will develop selection and categories, deliver innovative growth solutions and work with internal teams to deliver the best customer experience. The candidate must be a thoughtful, high-energy, self-starter, with strong business acumen, acute analytical skills, and the ability to work with teams internally and externally. The candidate must thrive in a fast-paced, data-driven environment. The candidate will work with vendors of all sizes – and must have the leadership presence and communication skills to represent Amazon at all levels of these organizations. They will need to be able to work across multiple internal teams, at high levels of leadership, to address customer experience issues within the category. The candidate must also possess strong analytical acumen and be comfortable drawing metric-based conclusions while applying a customer centered lens to decisions.Key job responsibilities- Creates long-term category strategies that drive topline growth- Partner closely with operations, supply chain, marketing, advertising, finance, and product management to drive the business- Develops and implements action plans based on deep-dive analysis of input metrics- Drives customer and business opportunities to deliver long-term strategy for multiple sub-categories- Owns the relationship with strategic vendors, including negotiations to deliver top- and bottom-line category growth- Owns the Retail P&L for multiple categories; develops plans that drive revenue and margin improvement for the business- Dives deep into inputs and understands the downstream impact of changes to pricing, selection, and convenience for multiple categories- Identifies areas that need vendor attention and directs team to address issues; acts as escalation point, helping team and vendor(s) resolve conflictsAbout the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.BASIC QUALIFICATIONSAre 18 years of age or older.Graduated in the last 24 months or currently enrolled in MBA program at the time of application with anticipated graduation dates between December 1, 2024 and Sept 30, 2025.3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

We are seeking a Data Center Operations Subject Matter Expert that will be responsible for liaising between the service team owners that run the suite of AWS tools that enable our customers to leverage cloud technology in ways that no other company does and our Data Center Operations teams on the ground that care and feed the hardware that makes this possible. This candidate will be working on changing the face of Cloud technology in the region. This role is based in the National Capitol Region. As a Data Center Operations (DCO) Subject Matter Expert you will work as a force multiplier for the Operations team, whose primary responsibility is the running and maintaining of DCO projects, maintenance, and upkeep of the datacenter. Our ideal candidate possesses a natural curiosity, sharp analytical skills, a self-driven approach to identifying work and implementing solutions, and is excited to pioneer on behalf of customers. This role requires hands-on project management skills, deep technical expertise, and excellent leadership skills. You will be responsible for collecting business and systems requirements from internal and external customers, working with other organizations to drive systemic issue resolution, liaising with service teams and driving project schedules. You will also be responsible for setting project management standards and delivering large, cross functional projects across the Amazon dedicated cloud environment. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities* Apply project management methodology to manage scope, plan work, coordinate resource deployment on tasks, analyze risks/develop mitigation strategies and proactively identify and resolve issues.* Own goals involving cross functional projects and stakeholder management.* Solve customer projects by applying technical and problem solving skills.* Provide leadership and perspective, and drive stakeholders to decisions in ambiguous situations.* Apply continuous improvement methodologies to analyze and understand existing processes and workflows.* Develop and manage detailed program schedules and report weekly progress and risks to senior leadership teams across multiple sites and functions.* Participate in team meetings for metric analysis and daily/weekly goals achievement.* Contribute to the development of other team members.* Confident working in a Linux and CLI environment, and working with pre-written network configurations.* Help define metrics to increase our customer uptime* Enforcing Amazons Security Best Practices* Interact with third party vendors & contractors* Contribute ideas to improve operational efficiency* Engage with service owners and close communication gaps with DCO teams across the ADC organization* Share knowledge and help educate less technical staff on the best practices related to all service owner issuesAbout the teamAWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in I.T. Related field or equivalent military experience- 2+ years of hand-on experience with server hardware- 2+ years of project management experience- Current, active US Government Security Clearance TS/SCI with Polygraph ...

AWS is looking for a Sr. BIE to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more !As a Sr. BIE on this team, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will generate insights that directly drive business growth and influence feature and product enhancements. You will get to work with datasets in one of the world's largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence product leadership. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will be part of an enhanced business intelligence team that goes beyond standard number reporting and drills into the drivers of key business metrics. As you build your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Develop a deep understanding of the business drivers and data landscape for your assigned AWS services.- Deliver in-depth data-driven analysis papers with actionable insights to business leaders.- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.- Mentor junior members to help establish new analytical standards and best practices for the team.A day in the lifeWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.About the teamMentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...